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1. OptEmbed OptEmbed Public

   This repository contains PyTorch Implementation of CIKM 2022 research-track paper: OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction.

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2. OptFS OptFS Public

   This repository contains PyTorch implemenation of WWW 2023 research paper: Optimizing Feature Set for Click-through Rate Prediction.

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3. OptInter OptInter Public

   This repository contains PyTorch Implementation of ICDE 2022 paper: Memorize, factorize, or be naive: Learning optimal feature interaction methods for CTR Prediction.

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4. AutoFS-in-CTR AutoFS-in-CTR Public

   This repository is contains several Automated feature selection methods in CTR Predicition.

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5. OptFeature OptFeature Public

   This repository contains the official implementation of our NeurIPS 2023 paper: Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network

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6. Skype-E Skype-E Public

   Demo of an emotion recognition plugin for Skype.

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